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- W2369549267 abstract "The niche of SRB is a key factor in the sulfate wastewater treatment in acidogenic-desulfate reactor. In this paper, the weights of jointing in the network are optimized with Genetic Algorithms on the basis of BPNN(Back-Propagation Neural Network) and the model . Emulation of the acidogenic-desulfate reducing system is also made by combining Back Propagation Neural Network with Genetic Algorithms. The investigation shows that the mean error obtained from GA (Genetic Algorithms) model is more accurate and credible than that from RA (Regression Analysis) model ." @default.
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- W2369549267 date "2007-01-01" @default.
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- W2369549267 title "Investigation on Modeling of Ecological Factors of SRB in the Treatment of Sulfate Wastewater with GA-NN" @default.
- W2369549267 hasPublicationYear "2007" @default.
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